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News:
- CFP (pdf,
ps)
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Register to obtain dataset.
Organizing Committee:
Leonid Sigal (Brown U)
Michael J. Black (Brown U)
Horst Haussecker (Intel)
Program Committee:
Ankur Agarwal (Microsoft Research)
Stefan Carlsson (KTH)
Trevor Darrell (MIT)
James Davis (UC Santa Cruz)
Larry Davis (U of Maryland)
David Fleet (U of Toronto)
David Forsyth (UIUC)
Pascal Fua (EPFL)
Horst Haussecker (Intel)
Daniel Huttenlocher (Cornell U)
Ram Nevatia (USC)
Deva Ramanan (TTI-C)
James Rehg (Georgia Tech)
Stan Sclaroff (Boston U)
Cristian Sminchisescu (TTI-C)
Philip Torr (Oxford Brookes)
Bill Triggs (INRIA)
Ying Wu (Northwestern U)
Ming-Hsuan Yang (Honda)
Invited Speakers:
David Fleet (U of Toronto)
Contacts:
E-mail:
ehum@cs.brown.edu
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Overview: There has been a large
body of work developed in the last 10 years on the human pose
estimation and tracking from video. Many of these methods are based
on well founded statistical models and machine learning techniques.
Progress however has been limited because of the lack of common
datasets and error metrics for quantitative comparison. The goal of
this workshop is to (1) establish the current state of the art in
the human pose estimation and tracking from single and multiple
camera views, (2) discuss future directions in the field, and (3)
introduce a benchmark database and error metrics for comparing
current and future methods. To this end a new (HumanEva) dataset has
been introduced. |
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Scope: Workshop program will
consist of papers, posters, invited talks and a discussion panel.
The list of possible topics includes (but is not limited to) the
following:
- Tracking and pose estimation (in 2D and 3D);
- Articulated body models;
- Priors for human motion and dynamics;
- Appearance models;
- Discriminative and generative approaches for articulated pose
recovery;
- Quantitative metrics for evaluation of pose estimation and
tracking.
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Submissions: All submissions
will be required to use the dataset provided and the on-line
evaluation system for evaluation of results. Due to the
retrospective and prospective nature of the workshop, we will
encourage submissions of both original unpublished works as well as
surveys where prior approaches are evaluated using the data and the
metrics provided. Submissions should contain an extensive
experimental section and enough algorithmic details to allow
reproducibility of results. We invite submissions of full length
8-page papers in the 2-column CVPR style.
We encourage authors of papers at the main CVPR conference to
present an evaluation of their method at the workshop. For CVPR-accepted
papers, authors should submit (1) a copy of the CVPR paper; (2) a
brief write-up describing experimental analysis with the EHuM
dataset. Workshop acceptances will be determined based on the
quality of the experimental analysis. It is expected that authors
presenting at both the main meeting and the workshop will focus
their workshop presentations on the experimental analysis. |
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Reviewing Process: All papers
will be subject to a double-blind review process by a program
committee of leading international researchers with experience in
human motion and pose estimation. Each paper will be reviewed by 2
members of the program committee. Based on these reviews, the
workshop organizers will decide on acceptance and presentation mode
(oral/spotlights). Instead of having a poster session, we propose to
have short oral spotlight presentations. |
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Important Dates:
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| Call for participation: |
January 23, 2007 |
| Submission deadline: |
April 20, 2007
Extended:
11:59pm, April 24 |
| Notification to authors: |
May 18, 2007
Extended:
May 25 |
| Final submission deadline (of accepted
papers): |
June 1, 2007 |
| Workshop in Minneapolis, Minnesota: |
June 22, 2007 |
| Submission of revised IJCV manuscripts: |
August, 2007 |
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Proceedings: In lieu of a
proceedings, authors will be invited to submit extended versions of
their papers to a special issue of International Journal of
Computer Vision (IJCV) on human pose estimation and tracking
with a deadline in August 2007. |
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